Gonsalves, Paul G.; Snorrason, Magnus; Caglayan, Alper K.
(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
Training data for supervised learning neural networks can be clustered such that the input/output pairs in each cluster are redundant. Redundant training data can adversely affect training time. In this paper we apply two ...